Results 121 to 130 of about 9,586,369 (306)
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker +16 more
wiley +1 more source
Multifeatures Fusion and Nonlinear Dimension Reduction for Intelligent Bearing Condition Monitoring
Condition-based maintenance is critical to reduce the costs of maintenance and improve the production efficiency. Data-driven method based on neural network (NN) is one of the most used models for mechanical components condition recognition.
Liang Guo +4 more
semanticscholar +1 more source
Detection of extrachromosomal circular DNA (eccDNA) in plasma samples from EGFR‐mutated non‐small cell lung cancer patients. Plasma was collected before and during treatment with the EGFR‐tyrosine kinase inhibitor osimertinib. Plasma eccDNA was detected in all cancer samples, and the presence of the EGFR gene on eccDNA serves as a potential biomarker ...
Simone Stensgaard +5 more
wiley +1 more source
Goods Versus Characteristics: Dimension Reduction and Revealed Preference [PDF]
This paper compares the goods and characteristics models of the consumer within a non-parametric revealed preference framework. Of primary interest is to make a comparison on the basis of predictive success that takes into account dimension reduction ...
Matthew Polisson
core +3 more sources
Effect of network structure on the accuracy of resilience dimension reduction
Dimension reduction is an effective method for system’s resilience analysis. In this paper, we investigate the effect of network structure on the accuracy of resilience dimension reduction.
Min Liu, Qiang Guo, Jianguo Liu
doaj +1 more source
Sufficient Dimension Reduction via Distance Covariance
We introduce a novel approach to sufficient dimension-reduction problems using distance covariance. Our method requires very mild conditions on the predictors.
Wenhui Sheng, Xiangrong Yin
semanticscholar +1 more source
Screening for lung cancer: A systematic review of overdiagnosis and its implications
Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz +12 more
wiley +1 more source
Dimension Reduction Methods [PDF]
One characteristic of computational statistics is the processing of enormous amounts of data. It is now possible to analyze large amounts of high-dimensional data through the use of high-performance contemporary computers. In general, however, several problems occur when the number of dimensions becomes high.
openaire +2 more sources
CDK11 inhibition stabilises the tumour suppressor p53 and triggers the production of an alternative p21WAF1 splice variant p21L, through the inactivation of the spliceosomal protein SF3B1. Unlike the canonical p21WAF1 protein, p21L is localised in the cytoplasm and has reduced cell cycle‐blocking activity.
Radovan Krejcir +12 more
wiley +1 more source
Capturing fluctuations in multivariate intensive longitudinal data
This paper introduces a novel method for intensive longitudinal data incorporating dimension reduction and time series analyses. The method capitalizes on the notion of determining distance or similarity parameters in the data.
Katerina M. Marcoulides, Hannah Hamling
doaj +1 more source

